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Status |
Public on Sep 15, 2010 |
Title |
Expression data from breast cancer FNA biopsies from patients |
Organism |
Homo sapiens |
Experiment type |
Expression profiling by array
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Summary |
The behavior of breast cancers and their response to different chemotherapy treatments depend on their phenotype which is to a large extent determined by gene expression programs within the cancer cell. We used gene expression values from 30 probes on affymetrix U133A chips to calculate a score that would predict if a breast cancer is likely to achieve pathological complete response to chemotherapy consisting of T/FAC.
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Overall design |
Pre-treatment FNA from primary tumors or axillary lymph node metastases were obtained and RNA extracted and hybridized to afymetrix microarrays according to manufacturer protocol.
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Contributor(s) |
Pusztai L, Tabchy A, Qi Y |
Citation(s) |
20829329, 23185353 |
Submission date |
Feb 10, 2010 |
Last update date |
Jun 06, 2022 |
Contact name |
Yuan Qi |
E-mail(s) |
yqi1@mdanderson.org
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Organization name |
University of Texas M.D. Anderson Cancer Center
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Department |
Bioinformatics & Computational Biology
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Street address |
1400 Pressler St
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City |
Houston |
State/province |
TX |
ZIP/Postal code |
77030-4008 |
Country |
USA |
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Platforms (1) |
GPL96 |
[HG-U133A] Affymetrix Human Genome U133A Array |
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Samples (178)
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Relations |
BioProject |
PRJNA125371 |